Delete psi0/real-checkpoints/task7/wandb

psi0/real-checkpoints/task7/wandb/run-20260120_094703-2a0sdllx/files/config.yaml

@@ -1,526 +0,0 @@
-_wandb:
-    value:
-        cli_version: 0.23.1
-        e:
-            65c6732um9e11hf7ow3jbn73dtanemf4:
-                args:
-                    - data:gr00t
-                    - data.transform.repack:gr00t-we
-                    - data.transform.action-state:maxmin
-                    - data.transform.model:hfm-together
-                    - model:hfm-together
-                    - --seed=292285
-                    - --no-auto-tag-run
-                    - --exp=hfm-together-with-rtc
-                    - --train.name=hfm-finetune
-                    - --train.data_parallel=ddp
-                    - --train.mixed_precision=bf16
-                    - --train.train_batch_size=64
-                    - --train.max_checkpoints_to_keep=5
-                    - --train.gradient_accumulation_steps=1
-                    - --train.learning_rate=1e-4
-                    - --train.max_training_steps=42000
-                    - --train.warmup_ratio=None
-                    - --train.warmup_steps=1000
-                    - --train.checkpointing_steps=5000
-                    - --train.validation_steps=500
-                    - --train.val_num_batches=20
-                    - --train.max_grad_norm=1.0
-                    - --train.lr_scheduler_type=cosine
-                    - --train.lr_scheduler_kwargs.weight_decay=1e-6
-                    - --train.lr_scheduler_kwargs.betas
-                    - "0.95"
-                    - "0.999"
-                    - --log.report_to=wandb
-                    - --data.root_dir=/hfm/data/real_teleop_g1/lerobot/
-                    - --data.dataset_paths=Hold_lunch_bag_with_both_hands_and_squat_to_put_on_the_coffee_table
-                    - --data.data_config=we.data.gr00t.data_config:WeUnitreeG1LocoDataConfig
-                    - --data.no-preload-all
-                    - --data.transform.repack.pad-action-dim=36
-                    - --data.transform.repack.pad-state-dim=36
-                    - --data.transform.action-state.stat-path=dataset_statistics/g1-stats-Hold_lunch_bag_with_both_hands_and_squat_to_put_on_the_coffee_table.json
-                    - --data.transform.action-state.stat-action-key=action
-                    - --data.transform.action-state.stat-state-key=states
-                    - --data.transform.action-state.action_norm_type=bounds
-                    - --data.transform.action-state.no-use-norm-mask
-                    - --data.transform.action-state.normalize-state
-                    - --data.transform.action-state.pad-action-dim=36
-                    - --data.transform.action-state.pad-state-dim=36
-                    - --data.transform.model.img-aug
-                    - --data.transform.model.resize.size
-                    - "240"
-                    - "320"
-                    - --data.transform.model.center_crop.size
-                    - "240"
-                    - "320"
-                    - --data.action-chunk-size=30
-                    - --model.model_name_or_path=/hfm/cache/checkpoints/hfm.pre.fast.mixed.1by1.2601091803.ckpt30k
-                    - --model.pretrained-action-header-path=/hfm/cache/checkpoints/postpre.1by130k.pad36.mixed.2601131206.ckpt34k
-                    - --model.noise-scheduler=flow
-                    - --model.train-diffusion-steps=1000
-                    - --model.n_conditions=0
-                    - --model.action-chunk-size=30
-                    - --model.action-dim=36
-                    - --model.action-exec-horizon=30
-                    - --model.observation-horizon=1
-                    - --model.odim=36
-                    - --model.view_feature_dim=2048
-                    - --model.no-tune-vlm
-                    - --model.no-use_film
-                    - --model.no-combined_temb
-                    - --model.rtc
-                    - --model.max-delay=8
-                codePath: scripts/train.py
-                codePathLocal: scripts/train.py
-                cpu_count: 128
-                cpu_count_logical: 128
-                cudaVersion: "12.9"
-                disk:
-                    /:
-                        total: "3934171283456"
-                        used: "3560892616704"
-                email: 2074894208@qq.com
-                executable: /hfm/boqian/liboqian_code/we_learn/.venv-hfm/bin/python3
-                git:
-                    commit: c26588b21729220d703e6c7201401ee5c626b180
-                    remote: git@github.com:songlin/we_learn.git
-                gpu: NVIDIA A100-SXM4-80GB
-                gpu_count: 8
-                gpu_nvidia:
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-                      cudaCores: 6912
-                      memoryTotal: "85899345920"
-                      name: NVIDIA A100-SXM4-80GB
-                      uuid: GPU-02b51758-2aec-8c71-c751-92567fdb15ad
-                    - architecture: Ampere
-                      cudaCores: 6912
-                      memoryTotal: "85899345920"
-                      name: NVIDIA A100-SXM4-80GB
-                      uuid: GPU-be645bb4-1ef0-15da-fc6b-53c5378650df
-                    - architecture: Ampere
-                      cudaCores: 6912
-                      memoryTotal: "85899345920"
-                      name: NVIDIA A100-SXM4-80GB
-                      uuid: GPU-44868ccd-5809-61e2-f8cc-1dff8efc7eb1
-                    - architecture: Ampere
-                      cudaCores: 6912
-                      memoryTotal: "85899345920"
-                      name: NVIDIA A100-SXM4-80GB
-                      uuid: GPU-a12b8de3-fb12-2901-c3a2-1e0e2b050b7b
-                    - architecture: Ampere
-                      cudaCores: 6912
-                      memoryTotal: "85899345920"
-                      name: NVIDIA A100-SXM4-80GB
-                      uuid: GPU-57787183-4904-b2c9-cf52-1c1af976b365
-                    - architecture: Ampere
-                      cudaCores: 6912
-                      memoryTotal: "85899345920"
-                      name: NVIDIA A100-SXM4-80GB
-                      uuid: GPU-e82d0fd0-9dcb-3d7c-9451-c4770ad6ddc3
-                    - architecture: Ampere
-                      cudaCores: 6912
-                      memoryTotal: "85899345920"
-                      name: NVIDIA A100-SXM4-80GB
-                      uuid: GPU-9a825fa3-60d0-3acf-6c79-67e9230ae24c
-                    - architecture: Ampere
-                      cudaCores: 6912
-                      memoryTotal: "85899345920"
-                      name: NVIDIA A100-SXM4-80GB
-                      uuid: GPU-6fe02e5e-b886-9c02-e433-6237f3897dd8
-                host: nebula101
-                memory:
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-                os: Linux-6.8.0-88-generic-x86_64-with-glibc2.39
-                program: /hfm/boqian/liboqian_code/we_learn/scripts/train.py
-                python: CPython 3.10.19
-                root: /hfm/boqian/liboqian_code/we_learn/.runs/hfm-finetune/hfm-together-with-rtc.wgt.flow1000.cosin.lr1.0e-04.b128.gpus2.2601200946
-                startedAt: "2026-01-20T09:47:03.651578Z"
-                writerId: 65c6732um9e11hf7ow3jbn73dtanemf4
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-auto_tag_run:
-    value: false
-data:
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-        action_chunk_size: 30
-        balance_dataset_weights: true
-        balance_trajectory_weights: true
-        data_config: we.data.gr00t.data_config:WeUnitreeG1LocoDataConfig
-        dataset_paths:
-            - Hold_lunch_bag_with_both_hands_and_squat_to_put_on_the_coffee_table
-        embodiment_tag: new_embodiment
-        preload_all: false
-        root_dir: /hfm/data/real_teleop_g1/lerobot/
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-                pad_action_dim: 36
-                pad_state_dim: 36
-                stat_action_key: action
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-                use_norm_mask: false
-            model:
-                adaptive_resize: false
-                center_crop:
-                    size:
-                        - 240
-                        - 320
-                color_jitter:
-                    brightness: 0.2
-                    contrast:
-                        - 0.8
-                        - 1.2
-                    hue: 0.05
-                    saturation:
-                        - 0.8
-                        - 1.2
-                gaussian_noise:
-                    mean: 0
-                    prob_skip: 0.1
-                    std: 3
-                img_aug: true
-                img_sizes:
-                    egodex:
-                        - 270
-                        - 480
-                    we:
-                        - 240
-                        - 320
-                resize:
-                    size:
-                        - 240
-                        - 320
-            repack:
-                action_key: action
-                conditions: []
-                dataset_name: we-g1-teleop
-                image_keys:
-                    - video
-                instruction_key: annotation.human.task_description
-                pad_action_dim: 36
-                pad_state_dim: 36
-                state_key: state
-        video_backend: decord
-debug:
-    value: false
-environment_variables:
-    value:
-        CUDA_VISIBLE_DEVICES: 2,3
-        DATA_HOME: Not Set
-        HF_HOME: /hfm/boqian/huggingface_cache
-        HF_LEROBOT_HOME: Not Set
-        HF_TOKEN: Not Set
-        LOCAL_RANK: "0"
-        LOCAL_WORLD_SIZE: "2"
-        MASTER_ADDR: 127.0.0.1
-        MASTER_PORT: "29500"
-        OMP_NUM_THREADS: "32"
-        PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION: Not Set
-        RANK: "0"
-        TORCH_HOME: /hfm/boqian/torch_cache
-        UV_CACHE_DIR: /hfm/boqian/uv_cache
-        WANDB_API_KEY: Not Set
-        WE_HOME: Not Set
-        WORLD_SIZE: "2"
-eval:
-    value: false
-exp:
-    value: hfm-together-with-rtc
-log:
-    value:
-        log_freq: 100
-        logging_dir: logs
-        report_to: wandb
-model:
-    value:
-        action_chunk_size: 30
-        action_dim: 36
-        action_exec_horizon: 30
-        activation: gelu
-        combined_temb: false
-        data_flatten: true
-        data_packing: true
-        dim_feedforward: 2048
-        dropout: 0.1
-        early_fusion: false
-        eval_diffusion_steps: 10
-        gradient_checkpointing: true
-        hidden_dim: 1536
-        img_chunk: 1
-        lang_backbone_lr: 1e-05
-        loss_w:
-            - 0.1
-            - 0.2
-            - 0.1
-        max_delay: 8
-        max_pixels: 451584
-        min_pixels: 12544
-        mm_projector_lr: 1e-05
-        model_max_length: 4096
-        model_name_or_path: /hfm/cache/checkpoints/hfm.pre.fast.mixed.1by1.2601091803.ckpt30k
-        n_cams: 1
-        n_conditions: 0
-        nhead: 24
-        noise_scheduler: flow
-        num_blocks: 6
-        observation_horizon: 1
-        odim: 36
-        optim: adamw_torch
-        pretrained_action_header_path: /hfm/cache/checkpoints/postpre.1by130k.pad36.mixed.2601131206.ckpt34k
-        resnet_store_path: cache/checkpoints/resnet18/IN_1M_resnet18.pth
-        rtc: true
-        share_cam_features: false
-        time_dim: 256
-        token_fusion: concat
-        train_diffusion_steps: 1000
-        tune_mm_llm: false
-        tune_mm_mlp: false
-        tune_mm_vision: false
-        tune_vlm: false
-        use_dit: false
-        use_film: false
-        use_obs: add_token
-        view_feature_dim: 2048
-        vision_tower_lr: 1e-06
-        vlm_ckpt_step: null
-        vlm_run_dir: null
-        weight_decay: 0.01
-seed:
-    value: 292285
-timestamp:
-    value: "2601200946"
-train:
-    value:
-        checkpointing_steps: 5000
-        data_parallel: ddp
-        deepspeed_config: /hfm/boqian/liboqian_code/we_learn/src/InternVLA/config/deepseeds/zero3.json
-        enable_gradient_checkpointing: true
-        enable_mixed_precision_training: true
-        gradient_accumulation_steps: 1
-        hf_token: .hf_token
-        learning_rate: 0.0001
-        lora: false
-        lr_scheduler_kwargs:
-            betas:
-                - 0.95
-                - 0.999
-            eps: 1e-08
-            weight_decay: 1e-06
-        lr_scheduler_type: cosine
-        max_checkpoints_to_keep: 5
-        max_grad_norm: 1
-        max_training_steps: 42000
-        mixed_precision: bf16
-        name: hfm-finetune
-        num_train_epochs: null
-        num_workers: 8
-        output_dir: .runs
-        overfit_single_batch: false
-        reduce_in_full_precision: true
-        resume_from_checkpoint: null
-        sharding_strategy: full-shard
-        skip_resumed_steps: false
-        train_batch_size: 64
-        val_batch_size: 16
-        val_num_batches: 20
-        validation_steps: 500
-        warmup_ratio: null
-        warmup_steps: 1000
-wandb:
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-        id: null
-        name: null
-        project: hfm
-        resume: allow